The Ninth Visual Object Tracking VOT2021 Challenge Results

Matej Kristan, Jiří Matas, Aleš Leonardis, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin, Alan Lukežič, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2021, pp. 2711-2738

Abstract


The Visual Object Tracking challenge VOT2021 is the ninth annual tracker benchmarking activity organized by the VOT initiative. Results of 71 trackers are presented; many are state-of-the-art trackers published at major com- puter vision conferences or in journals in recent years. The VOT2021 challenge was composed of four sub-challenges focusing on different tracking domains: (i) VOT-ST2021 challenge focused on short-term tracking in RGB, (ii) VOT- RT2021 challenge focused on "real-time" short-term track- ing in RGB, (iii) VOT-LT2021 focused on long-term track- ing, namely coping with target disappearance and reap- pearance and (iv) VOT-RGBD2021 challenge focused on long-term tracking in RGB and depth imagery. The VOT- ST2021 dataset was refreshed, while VOT-RGBD2021 in- troduces a training dataset and sequestered dataset for win- ner identification. The source code for most of the trackers, the datasets, the evaluation kit and the results along with the source code for most trackers are publicly available at the challenge website.

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[bibtex]
@InProceedings{Kristan_2021_ICCV, author = {Kristan, Matej and Matas, Ji\v{r}{\'\i} and Leonardis, Ale\v{s} and Felsberg, Michael and Pflugfelder, Roman and K\"am\"ar\"ainen, Joni-Kristian and Chang, Hyung Jin and Danelljan, Martin and Cehovin, Luka and Luke\v{z}i\v{c}, Alan and Drbohlav, Ondrej and K\"apyl\"a, Jani and H\"ager, Gustav and Yan, Song and Yang, Jinyu and Zhang, Zhongqun and Fern\'andez, Gustavo}, title = {The Ninth Visual Object Tracking VOT2021 Challenge Results}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2711-2738} }